trust-signal-verifier

Verify operator profile trust signals and generate flagged inconsistencies for manual review.

Updated Feb 26, 2026
One-click install
npx skills add https://github.com/haulcommand-max/haul-command --skill trust-signal-verifier
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: trust-signal-verifier
Source: https://github.com/haulcommand-max/haul-command/tree/main/skills/trust_signal_verifier
Command: npx skills add https://github.com/haulcommand-max/haul-command --skill trust-signal-verifier

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Validates critical trust elements across operator profiles and detects inconsistencies to prevent fraud and misrepresentation.

Core Features & Use Cases

  • Insurance validity checks across documents and expiry dates.
  • Equipment claim verification against photos, certifications, and job history.
  • Experience verification by comparing stated experience with account age and activity.
  • Location consistency checks against activity patterns and GPS data.
  • Review authenticity assessment using velocity and linguistic patterns.

Quick Start

Run trust-signal-verifier on an operator profile to generate a trust score and flagged inconsistencies for manual review.

Frequently Asked Questions about trust-signal-verifier

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I verify operator profiles and detect fraud during vetting?

You can verify operator profiles by cross-referencing insurance documents, equipment photos, and location data to detect inconsistencies. The system generates a trust score and flags anomalies for manual compliance review.

What trust signals should I check for compliance and risk assessment?

Critical trust signals include insurance validity, equipment certifications, experience history, location consistency, and review authenticity. Checking these signals surfaces misrepresentations and fraud risks across operator profiles.

How do I check review authenticity and detect fake operator reviews?

Review authenticity is assessed by analyzing velocity and linguistic patterns in feedback. This detects unnatural review generation behaviors, flagging suspicious activity for compliance investigations.

Can I use automated vetting for location consistency and equipment verification?

Automated vetting supports location consistency checks against GPS activity patterns and equipment claim verification against photos and certifications. It generates flags for manual review when inconsistencies are found.

Does trust signal verification work for manual review workflows?

Trust signal verification is designed for manual review workflows, generating a trust score and flagging specific inconsistencies. This allows reviewers to focus on high-risk profiles instead of auditing every field manually.